BlackRock funds lead investments as the company positions itself as the next fastest growing cybersecurity solutions provider with an aggressive growth trajectory.

NEW YORK (April 22, 2021) – Deep instinct, the first company to apply end-to-end deep learning, based on the only deep learning framework designed specifically for cybersecurity, today announced that it has successfully raised $ 100 million in Series D funding The Deep Instinct platform can predict, prevent and analyze cyber attacks at any point of contact in the organization, from the end point to the network. This cycle was led by funds and accounts managed by BlackRock, with participation from Untitled Investments, The Tudor Group, an investment from Anne Wojcicki and existing investors including Millennium, Unbound and Coatue Management, among others. . This new capital doubles the investment to date, bringing the total funding to $ 200 million, and will fuel the company’s aggressive growth plans for 2021 and beyond.

“As we enter a new phase of hyper-growth, this investment cycle will significantly expand our commercialization capabilities while increasing our best deep learning product research and development groups,” said Guy Caspi, CEO by Deep Instinct. “These groups will focus on developing the company’s unique deep learning platform, beyond endpoints, into the cloud, network and storage to meet the growing needs of our customers in the face of more sophisticated threats and violations. ”

Deep Instinct currently protects customers in North America, Europe and the APAC region, with companies having tripled in the past year, including strategic wins with multiple Global 2000 companies in the first quarter of 2021.

“After 20 years of bringing start-ups to the public market and having been involved with Deep Instinct since its inception, I can say with confidence that the benefits of our deep learning technology will change the way the organization works. industry considers cybersecurity. I see our platform emerging as an essential security component in the next few years, ”said Lane Bess, president of Deep Instinct. “With the support of our investors, Deep Instinct will continue to grow as the only company to develop deep learning cyber prediction and prevention capabilities – and essentially to immunize businesses against cyber vulnerabilities.”

Just as autonomous vehicles, speech recognition, and recommendation engines have leveraged deep learning to empower their applications, Deep Instinct is pioneering the adoption of deep learning in cybersecurity. With 80% of successful breaches leveraging zero-day attacks, according to the Ponemon Institute’s State of Endpoint Security Risk report, the need for a transformational approach to security is more critical than ever.

Leading the expansion of deep learning for cybersecurity

Deep Instinct’s cybersecurity platform uses end-to-end deep learning to specialize in threat prevention, making it the most effective and efficient cybersecurity solution on the market. Deep Instinct stops unknown and unseen threats in less than 20 milliseconds and reduces false positives by 99% – the lowest rate in the industry. Company confidence translates into providing both the industry’s first false positive guarantee and the industry’s largest ransomware guarantee, backed by Munich Re Group. Their zero-time cybersecurity solution sits atop the only deep learning framework designed specifically for cybersecurity, enabling Deep Instinct to address file-based threats faster than other endpoint solutions.

In addition, according to Forrester Consulting Total Economic Impact â„¢ (TEI) Advanced Endpoint Security Solution study from Deep Instinct, an organization could experience benefits of $ 3.5 million over three years against costs of $ 0.6 million, or a net present value (NPV) of 2 , $ 9 million and a return on investment of 446%.

About Deep Instinct

Deep Instinct is the first and only company to apply end-to-end deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Likewise, as the brain of Deep Instinct’s deep artificial neural network learns how to prevent any type of cyber threat, its predictive abilities become instinctive. As a result, all types of malware, known and new, first-seen malware, zero-days, ransomware and APT (Advanced Persistent Threats) attacks of all types are predicted and prevented in zero time with precision and reliability. unmatched speed anywhere in the world. the enterprise – network, endpoint, mobile – enabling multi-layered protection. To learn more, visit https://www.deepinstinct.com/.

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* Case was based on a composite organization with 7,000 terminals and a 15-person security operations team based in the United States.